Event-triggered multi-sensor scheduling for remote state estimation over packet-dropping networks
We study the multi-sensor remote state estimation problem over packet-dropping networks and employ a stochastic event-triggered scheduler to conserve energy and bandwidth. Due to packet drops, the Gaussian property of the system state, commonly used in the literature, no longer holds. We prove that...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/182397 |